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MATH 170S

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Introduction to Probability and Statistics 2: Statistics

Requisites: courses 31A, 31B, and 170A or 170E or Statistics 100A.

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35 courses across 5 departments, 11 choice points · 22 requisite links run off the edge of this view

MATH 170S — Introduction to Probability and Statistics 2: StatisticsMATH 170SIntroduction to Probab…MATH 31A — Differential and Integral CalculusMATH 31ADifferential and Integ…MATH 1 — PrecalculusMATH 1PrecalculusMATH 31B — Integration and Infinite SeriesMATH 31BIntegration and Infini…STATS 100A — Introduction to ProbabilitySTATS 100AIntroduction to Probab…MATH 32B — Calculus of Several VariablesMATH 32BCalculus of Several Va…MATH 32A — Calculus of Several VariablesMATH 32ACalculus of Several Va…MATH 33A — Linear Algebra and ApplicationsMATH 33ALinear Algebra and App…MATH 3B — Calculus for Life Sciences StudentsMATH 3BCalculus for Life Scie…MATH 170A — Probability Theory IMATH 170AProbability Theory IMATH 131A — AnalysisMATH 131AAnalysisMATH 33B — Differential EquationsMATH 33BDifferential EquationsMATH 170E — Introduction to Probability and Statistics 1: ProbabilityMATH 170EIntroduction to Probab…MATH 178B — Foundations of Actuarial Mathematics: Additional Topics in Long-Term Actuarial MathematicsMATH 178BFoundations of Actuari…MATH 178C — Foundations of Actuarial Mathematics: Loss ModelsMATH 178CFoundations of Actuari…ECON 103 — Introduction to EconometricsECON 103Introduction to Econom…ECON 103L — Econometrics LaboratoryECON 103LEconometrics LaboratoryECON 104 — Data Science for EconomistsECON 104Data Science for Econo…ECON 104L — Data Science for Economists LaboratoryECON 104LData Science for Econo…ECON 144 — Economic ForecastingECON 144Economic ForecastingECON 109C — Advanced Sequence: Computational EconomicsECON 109CAdvanced Sequence: Com…ECON 109D — Advanced Sequence: Econometric TheoryECON 109DAdvanced Sequence: Eco…STATS 100C — Linear ModelsSTATS 100CLinear ModelsBIOMATH M257 — Computational Methods for Biostatistical ResearchBIOMATH M257Computational Methods…BIOSTAT M215 — Survival AnalysisBIOSTAT M215Survival AnalysisSTATS C151 — Experimental DesignSTATS C151Experimental DesignBIOMATH M280 — Statistical ComputingBIOMATH M280Statistical ComputingBIOSTAT M257 — Computational Methods for Biostatistical ResearchBIOSTAT M257Computational Methods…ECON 109DL — Advanced Sequence: Econometric Theory LaboratoryECON 109DLAdvanced Sequence: Eco…ECON 109E — Advanced Sequence: Applied Empirical EconomicsECON 109EAdvanced Sequence: App…STATS 102B — Introduction to Computation and Optimization for StatisticsSTATS 102BIntroduction to Comput…STATS 102C — Introduction to Monte Carlo MethodsSTATS 102CIntroduction to Monte…STATS 140XP — Collaboration in Data ScienceSTATS 140XPCollaboration in Data…STATS 141XP — Practice of Data ScienceSTATS 141XPPractice of Data Scien…STATS 143 — Introduction to Research in StatisticsSTATS 143Introduction to Resear…Also satisfied by BIOSTAT 250A, not drawn in this view.one of +1Also satisfied by BIOSTAT 202B, not drawn in this view.one of +1Also satisfied by BIOSTAT 250A, not drawn in this view.one of +1one ofAlso satisfied by MATH 170B, STATS 100B, not drawn in this view.one of +2one ofAlso satisfied by STATS 100B, not drawn in this view.one of +1Also satisfied by STATS 100B, not drawn in this view.one of +1Also satisfied by STATS 100B, not drawn in this view.one of +1Also satisfied by STATS 100B, not drawn in this view.one of +1Also satisfied by STATS 100B, not drawn in this view.one of +1
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